Overview
Seaborn is designed to make it easier to create complex statistical visualizations. It integrates deeply with Pandas dataframes and automatically handles many of the details that require manual coding in Matplotlib, such as color mapping and statistical aggregation.
Key Features
- Beautiful Defaults: Modern, aesthetically pleasing styles and color palettes.
- Statistical Functions: Built-in functions for visualizing distributions, regressions, and categorical relationships.
- Complex Layouts: Easily create grids of plots (FacetGrids).
- Simplified API: Create complex charts with just a few lines of code.
Use Cases
- Exploring relationships between multiple variables in a dataset.
- Visualizing the results of statistical models.